%%javascript
IPython.OutputArea.auto_scroll_threshold = 9999;
import pandas as pd
import numpy as np
from collections import Counter
from matplotlib import pyplot as plt
import os
import cv2
%matplotlib inline
def load_filepaths():
imdir_ideology = 'ideology_image_dataset/'
ideology_files=os.listdir('ideology_image_dataset/')
ideology_files_path=[os.path.join(imdir_ideology,file) for file in ideology_files ]
return ideology_files_path
ideology_files_path=load_filepaths()
len(ideology_files_path)
def showClustering(predicted_labels,label):
label_indexs= np.where(predicted_labels==label)[0]
print("CLUSTER--> ",label,"TOTAL IMAGES--> ",len(label_indexs))
if(len(label_indexs)>=500):
fig=plt.figure(figsize=(10, 400))
elif(len(label_indexs)>100 and len(label_indexs)<500):
fig=plt.figure(figsize=(10, 70))
elif(len(label_indexs)>=50 and len(label_indexs)<100):
fig=plt.figure(figsize=(10, 30))
elif(len(label_indexs)>=20 and len(label_indexs)<50):
fig=plt.figure(figsize=(10, 20))
elif(len(label_indexs)>=0 and len(label_indexs)<20):
fig=plt.figure(figsize=(10, 8))
for i,index in enumerate(label_indexs):
image = cv2.imread(ideology_files_path[index])
image= cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
columns = 4
rows = np.ceil(len(label_indexs)/float(columns))
fig.add_subplot(rows,columns, i+1)
plt.imshow(image)
plt.show()
results_df=pd.read_csv('image-results-updateGrid/ideology_model_mobilenet.npy-tsne.csv')
results_df
| Unnamed: 0 | n_clusters | silhouette | calinski | davies | |
|---|---|---|---|---|---|
| 0 | HDBSCAN | 639 | -0.032523 | 6.699580 | 1.504272 |
| 1 | DBSCAN | 610 | 0.217161 | 37.146614 | 1.123866 |
| 2 | Mean-shift | 2 | 0.336667 | 11.209955 | 0.846468 |
| 3 | Optics | 400 | -0.035018 | 10.152073 | 1.297149 |
predicted_Labels=np.load('image-results-updateGrid/ideology_model_mobilenet.npy-tsne_hdbscan_labels.npy')
unique_labels=set(predicted_Labels)
for label in unique_labels:
if(label!=-1):
showClustering(predicted_Labels,label)
CLUSTER--> 0 TOTAL IMAGES--> 4
CLUSTER--> 1 TOTAL IMAGES--> 3
CLUSTER--> 2 TOTAL IMAGES--> 2
CLUSTER--> 3 TOTAL IMAGES--> 2
CLUSTER--> 4 TOTAL IMAGES--> 11
CLUSTER--> 5 TOTAL IMAGES--> 5
CLUSTER--> 6 TOTAL IMAGES--> 3
CLUSTER--> 7 TOTAL IMAGES--> 2
CLUSTER--> 8 TOTAL IMAGES--> 3
CLUSTER--> 9 TOTAL IMAGES--> 2
CLUSTER--> 10 TOTAL IMAGES--> 2
CLUSTER--> 11 TOTAL IMAGES--> 2
CLUSTER--> 12 TOTAL IMAGES--> 2
CLUSTER--> 13 TOTAL IMAGES--> 2
CLUSTER--> 14 TOTAL IMAGES--> 2
CLUSTER--> 15 TOTAL IMAGES--> 4
CLUSTER--> 16 TOTAL IMAGES--> 2
CLUSTER--> 17 TOTAL IMAGES--> 2
CLUSTER--> 18 TOTAL IMAGES--> 2
CLUSTER--> 19 TOTAL IMAGES--> 2
CLUSTER--> 20 TOTAL IMAGES--> 2
CLUSTER--> 21 TOTAL IMAGES--> 2
CLUSTER--> 22 TOTAL IMAGES--> 2
CLUSTER--> 23 TOTAL IMAGES--> 3
CLUSTER--> 24 TOTAL IMAGES--> 2
CLUSTER--> 25 TOTAL IMAGES--> 3
CLUSTER--> 26 TOTAL IMAGES--> 2
CLUSTER--> 27 TOTAL IMAGES--> 2
CLUSTER--> 28 TOTAL IMAGES--> 2
CLUSTER--> 29 TOTAL IMAGES--> 2
CLUSTER--> 30 TOTAL IMAGES--> 3
CLUSTER--> 31 TOTAL IMAGES--> 2
CLUSTER--> 32 TOTAL IMAGES--> 2
CLUSTER--> 33 TOTAL IMAGES--> 2
CLUSTER--> 34 TOTAL IMAGES--> 2
CLUSTER--> 35 TOTAL IMAGES--> 2
CLUSTER--> 36 TOTAL IMAGES--> 3
CLUSTER--> 37 TOTAL IMAGES--> 2
CLUSTER--> 38 TOTAL IMAGES--> 2
CLUSTER--> 39 TOTAL IMAGES--> 5
CLUSTER--> 40 TOTAL IMAGES--> 2
CLUSTER--> 41 TOTAL IMAGES--> 4
CLUSTER--> 42 TOTAL IMAGES--> 3
CLUSTER--> 43 TOTAL IMAGES--> 2
CLUSTER--> 44 TOTAL IMAGES--> 2
CLUSTER--> 45 TOTAL IMAGES--> 3
CLUSTER--> 46 TOTAL IMAGES--> 3
CLUSTER--> 47 TOTAL IMAGES--> 6
CLUSTER--> 48 TOTAL IMAGES--> 2
CLUSTER--> 49 TOTAL IMAGES--> 2
CLUSTER--> 50 TOTAL IMAGES--> 2
CLUSTER--> 51 TOTAL IMAGES--> 2
CLUSTER--> 52 TOTAL IMAGES--> 2
CLUSTER--> 53 TOTAL IMAGES--> 2
CLUSTER--> 54 TOTAL IMAGES--> 2
CLUSTER--> 55 TOTAL IMAGES--> 2
CLUSTER--> 56 TOTAL IMAGES--> 2
CLUSTER--> 57 TOTAL IMAGES--> 3
CLUSTER--> 58 TOTAL IMAGES--> 3
CLUSTER--> 59 TOTAL IMAGES--> 2
CLUSTER--> 60 TOTAL IMAGES--> 2
CLUSTER--> 61 TOTAL IMAGES--> 2
CLUSTER--> 62 TOTAL IMAGES--> 3
CLUSTER--> 63 TOTAL IMAGES--> 2
CLUSTER--> 64 TOTAL IMAGES--> 2
CLUSTER--> 65 TOTAL IMAGES--> 5
CLUSTER--> 66 TOTAL IMAGES--> 2
CLUSTER--> 67 TOTAL IMAGES--> 5
CLUSTER--> 68 TOTAL IMAGES--> 2
CLUSTER--> 69 TOTAL IMAGES--> 3
CLUSTER--> 70 TOTAL IMAGES--> 2
CLUSTER--> 71 TOTAL IMAGES--> 2
CLUSTER--> 72 TOTAL IMAGES--> 2
CLUSTER--> 73 TOTAL IMAGES--> 2
CLUSTER--> 74 TOTAL IMAGES--> 2
CLUSTER--> 75 TOTAL IMAGES--> 2
CLUSTER--> 76 TOTAL IMAGES--> 3
CLUSTER--> 77 TOTAL IMAGES--> 2
CLUSTER--> 78 TOTAL IMAGES--> 2
CLUSTER--> 79 TOTAL IMAGES--> 2
CLUSTER--> 80 TOTAL IMAGES--> 2
CLUSTER--> 81 TOTAL IMAGES--> 2
CLUSTER--> 82 TOTAL IMAGES--> 2
CLUSTER--> 83 TOTAL IMAGES--> 3
CLUSTER--> 84 TOTAL IMAGES--> 3
CLUSTER--> 85 TOTAL IMAGES--> 2
CLUSTER--> 86 TOTAL IMAGES--> 2
CLUSTER--> 87 TOTAL IMAGES--> 2
CLUSTER--> 88 TOTAL IMAGES--> 3
CLUSTER--> 89 TOTAL IMAGES--> 2
CLUSTER--> 90 TOTAL IMAGES--> 2
CLUSTER--> 91 TOTAL IMAGES--> 3
CLUSTER--> 92 TOTAL IMAGES--> 2
CLUSTER--> 93 TOTAL IMAGES--> 3
CLUSTER--> 94 TOTAL IMAGES--> 2
CLUSTER--> 95 TOTAL IMAGES--> 3
CLUSTER--> 96 TOTAL IMAGES--> 2
CLUSTER--> 97 TOTAL IMAGES--> 2
CLUSTER--> 98 TOTAL IMAGES--> 3
CLUSTER--> 99 TOTAL IMAGES--> 2
CLUSTER--> 100 TOTAL IMAGES--> 2
CLUSTER--> 101 TOTAL IMAGES--> 3
CLUSTER--> 102 TOTAL IMAGES--> 3
CLUSTER--> 103 TOTAL IMAGES--> 2
CLUSTER--> 104 TOTAL IMAGES--> 4
CLUSTER--> 105 TOTAL IMAGES--> 2
CLUSTER--> 106 TOTAL IMAGES--> 2
CLUSTER--> 107 TOTAL IMAGES--> 2
CLUSTER--> 108 TOTAL IMAGES--> 2
CLUSTER--> 109 TOTAL IMAGES--> 2
CLUSTER--> 110 TOTAL IMAGES--> 2
CLUSTER--> 111 TOTAL IMAGES--> 2
CLUSTER--> 112 TOTAL IMAGES--> 2
CLUSTER--> 113 TOTAL IMAGES--> 2
CLUSTER--> 114 TOTAL IMAGES--> 3
CLUSTER--> 115 TOTAL IMAGES--> 2
CLUSTER--> 116 TOTAL IMAGES--> 2
CLUSTER--> 117 TOTAL IMAGES--> 2
CLUSTER--> 118 TOTAL IMAGES--> 2
CLUSTER--> 119 TOTAL IMAGES--> 3
CLUSTER--> 120 TOTAL IMAGES--> 2
CLUSTER--> 121 TOTAL IMAGES--> 2
CLUSTER--> 122 TOTAL IMAGES--> 2
CLUSTER--> 123 TOTAL IMAGES--> 3
CLUSTER--> 124 TOTAL IMAGES--> 3
CLUSTER--> 125 TOTAL IMAGES--> 2
CLUSTER--> 126 TOTAL IMAGES--> 2
CLUSTER--> 127 TOTAL IMAGES--> 2
CLUSTER--> 128 TOTAL IMAGES--> 2
CLUSTER--> 129 TOTAL IMAGES--> 2
CLUSTER--> 130 TOTAL IMAGES--> 2
CLUSTER--> 131 TOTAL IMAGES--> 2
CLUSTER--> 132 TOTAL IMAGES--> 2
CLUSTER--> 133 TOTAL IMAGES--> 4
CLUSTER--> 134 TOTAL IMAGES--> 2
CLUSTER--> 135 TOTAL IMAGES--> 3
CLUSTER--> 136 TOTAL IMAGES--> 4
CLUSTER--> 137 TOTAL IMAGES--> 2
CLUSTER--> 138 TOTAL IMAGES--> 4
CLUSTER--> 139 TOTAL IMAGES--> 2
CLUSTER--> 140 TOTAL IMAGES--> 7
CLUSTER--> 141 TOTAL IMAGES--> 2
CLUSTER--> 142 TOTAL IMAGES--> 2
CLUSTER--> 143 TOTAL IMAGES--> 2
CLUSTER--> 144 TOTAL IMAGES--> 2
CLUSTER--> 145 TOTAL IMAGES--> 2
CLUSTER--> 146 TOTAL IMAGES--> 3
CLUSTER--> 147 TOTAL IMAGES--> 2
CLUSTER--> 148 TOTAL IMAGES--> 2
CLUSTER--> 149 TOTAL IMAGES--> 4
CLUSTER--> 150 TOTAL IMAGES--> 2
CLUSTER--> 151 TOTAL IMAGES--> 3
CLUSTER--> 152 TOTAL IMAGES--> 2
CLUSTER--> 153 TOTAL IMAGES--> 4
CLUSTER--> 154 TOTAL IMAGES--> 2
CLUSTER--> 155 TOTAL IMAGES--> 2
CLUSTER--> 156 TOTAL IMAGES--> 3
CLUSTER--> 157 TOTAL IMAGES--> 2
CLUSTER--> 158 TOTAL IMAGES--> 2
CLUSTER--> 159 TOTAL IMAGES--> 2
CLUSTER--> 160 TOTAL IMAGES--> 2
CLUSTER--> 161 TOTAL IMAGES--> 2
CLUSTER--> 162 TOTAL IMAGES--> 2
CLUSTER--> 163 TOTAL IMAGES--> 4
CLUSTER--> 164 TOTAL IMAGES--> 2
CLUSTER--> 165 TOTAL IMAGES--> 2
CLUSTER--> 166 TOTAL IMAGES--> 2
CLUSTER--> 167 TOTAL IMAGES--> 2
CLUSTER--> 168 TOTAL IMAGES--> 4
CLUSTER--> 169 TOTAL IMAGES--> 2
CLUSTER--> 170 TOTAL IMAGES--> 2
CLUSTER--> 171 TOTAL IMAGES--> 2
CLUSTER--> 172 TOTAL IMAGES--> 9
CLUSTER--> 173 TOTAL IMAGES--> 4
CLUSTER--> 174 TOTAL IMAGES--> 4
CLUSTER--> 175 TOTAL IMAGES--> 2
CLUSTER--> 176 TOTAL IMAGES--> 2
CLUSTER--> 177 TOTAL IMAGES--> 3
CLUSTER--> 178 TOTAL IMAGES--> 3
CLUSTER--> 179 TOTAL IMAGES--> 2
CLUSTER--> 180 TOTAL IMAGES--> 2
CLUSTER--> 181 TOTAL IMAGES--> 3
CLUSTER--> 182 TOTAL IMAGES--> 4
CLUSTER--> 183 TOTAL IMAGES--> 2
CLUSTER--> 184 TOTAL IMAGES--> 2
CLUSTER--> 185 TOTAL IMAGES--> 2
CLUSTER--> 186 TOTAL IMAGES--> 2
CLUSTER--> 187 TOTAL IMAGES--> 2
CLUSTER--> 188 TOTAL IMAGES--> 2
CLUSTER--> 189 TOTAL IMAGES--> 2
CLUSTER--> 190 TOTAL IMAGES--> 2
CLUSTER--> 191 TOTAL IMAGES--> 2
CLUSTER--> 192 TOTAL IMAGES--> 2
CLUSTER--> 193 TOTAL IMAGES--> 2
CLUSTER--> 194 TOTAL IMAGES--> 4
CLUSTER--> 195 TOTAL IMAGES--> 3
CLUSTER--> 196 TOTAL IMAGES--> 2
CLUSTER--> 197 TOTAL IMAGES--> 9
CLUSTER--> 198 TOTAL IMAGES--> 3
CLUSTER--> 199 TOTAL IMAGES--> 8
CLUSTER--> 200 TOTAL IMAGES--> 2
CLUSTER--> 201 TOTAL IMAGES--> 3
CLUSTER--> 202 TOTAL IMAGES--> 2
CLUSTER--> 203 TOTAL IMAGES--> 2
CLUSTER--> 204 TOTAL IMAGES--> 2
CLUSTER--> 205 TOTAL IMAGES--> 2
CLUSTER--> 206 TOTAL IMAGES--> 2
CLUSTER--> 207 TOTAL IMAGES--> 2
CLUSTER--> 208 TOTAL IMAGES--> 3
CLUSTER--> 209 TOTAL IMAGES--> 2
CLUSTER--> 210 TOTAL IMAGES--> 3
CLUSTER--> 211 TOTAL IMAGES--> 2
CLUSTER--> 212 TOTAL IMAGES--> 4
CLUSTER--> 213 TOTAL IMAGES--> 2
CLUSTER--> 214 TOTAL IMAGES--> 6
CLUSTER--> 215 TOTAL IMAGES--> 2
CLUSTER--> 216 TOTAL IMAGES--> 2
CLUSTER--> 217 TOTAL IMAGES--> 6
CLUSTER--> 218 TOTAL IMAGES--> 2
CLUSTER--> 219 TOTAL IMAGES--> 2
CLUSTER--> 220 TOTAL IMAGES--> 3
CLUSTER--> 221 TOTAL IMAGES--> 4
CLUSTER--> 222 TOTAL IMAGES--> 4
CLUSTER--> 223 TOTAL IMAGES--> 4
CLUSTER--> 224 TOTAL IMAGES--> 2
CLUSTER--> 225 TOTAL IMAGES--> 3
CLUSTER--> 226 TOTAL IMAGES--> 2
CLUSTER--> 227 TOTAL IMAGES--> 2
CLUSTER--> 228 TOTAL IMAGES--> 2
CLUSTER--> 229 TOTAL IMAGES--> 2
CLUSTER--> 230 TOTAL IMAGES--> 2
CLUSTER--> 231 TOTAL IMAGES--> 2
CLUSTER--> 232 TOTAL IMAGES--> 2
CLUSTER--> 233 TOTAL IMAGES--> 2
CLUSTER--> 234 TOTAL IMAGES--> 2
CLUSTER--> 235 TOTAL IMAGES--> 4
CLUSTER--> 236 TOTAL IMAGES--> 2
CLUSTER--> 237 TOTAL IMAGES--> 2
CLUSTER--> 238 TOTAL IMAGES--> 3
CLUSTER--> 239 TOTAL IMAGES--> 2
CLUSTER--> 240 TOTAL IMAGES--> 3
CLUSTER--> 241 TOTAL IMAGES--> 3
CLUSTER--> 242 TOTAL IMAGES--> 3
CLUSTER--> 243 TOTAL IMAGES--> 2
CLUSTER--> 244 TOTAL IMAGES--> 3
CLUSTER--> 245 TOTAL IMAGES--> 3
CLUSTER--> 246 TOTAL IMAGES--> 2
CLUSTER--> 247 TOTAL IMAGES--> 2
CLUSTER--> 248 TOTAL IMAGES--> 2
CLUSTER--> 249 TOTAL IMAGES--> 2
CLUSTER--> 250 TOTAL IMAGES--> 2
CLUSTER--> 251 TOTAL IMAGES--> 2
CLUSTER--> 252 TOTAL IMAGES--> 4
CLUSTER--> 253 TOTAL IMAGES--> 3
CLUSTER--> 254 TOTAL IMAGES--> 2
CLUSTER--> 255 TOTAL IMAGES--> 4
CLUSTER--> 256 TOTAL IMAGES--> 2
CLUSTER--> 257 TOTAL IMAGES--> 2
CLUSTER--> 258 TOTAL IMAGES--> 2
CLUSTER--> 259 TOTAL IMAGES--> 6
CLUSTER--> 260 TOTAL IMAGES--> 2
CLUSTER--> 261 TOTAL IMAGES--> 2
CLUSTER--> 262 TOTAL IMAGES--> 2
CLUSTER--> 263 TOTAL IMAGES--> 2
CLUSTER--> 264 TOTAL IMAGES--> 2
CLUSTER--> 265 TOTAL IMAGES--> 2
CLUSTER--> 266 TOTAL IMAGES--> 3
CLUSTER--> 267 TOTAL IMAGES--> 4
CLUSTER--> 268 TOTAL IMAGES--> 3
CLUSTER--> 269 TOTAL IMAGES--> 3
CLUSTER--> 270 TOTAL IMAGES--> 3
CLUSTER--> 271 TOTAL IMAGES--> 2
CLUSTER--> 272 TOTAL IMAGES--> 2
CLUSTER--> 273 TOTAL IMAGES--> 2
CLUSTER--> 274 TOTAL IMAGES--> 3
CLUSTER--> 275 TOTAL IMAGES--> 2
CLUSTER--> 276 TOTAL IMAGES--> 2
CLUSTER--> 277 TOTAL IMAGES--> 2
CLUSTER--> 278 TOTAL IMAGES--> 3
CLUSTER--> 279 TOTAL IMAGES--> 2
CLUSTER--> 280 TOTAL IMAGES--> 2
CLUSTER--> 281 TOTAL IMAGES--> 2
CLUSTER--> 282 TOTAL IMAGES--> 2
CLUSTER--> 283 TOTAL IMAGES--> 2
CLUSTER--> 284 TOTAL IMAGES--> 2
CLUSTER--> 285 TOTAL IMAGES--> 4
CLUSTER--> 286 TOTAL IMAGES--> 6
CLUSTER--> 287 TOTAL IMAGES--> 4
CLUSTER--> 288 TOTAL IMAGES--> 2
CLUSTER--> 289 TOTAL IMAGES--> 2
CLUSTER--> 290 TOTAL IMAGES--> 3
CLUSTER--> 291 TOTAL IMAGES--> 2
CLUSTER--> 292 TOTAL IMAGES--> 2
CLUSTER--> 293 TOTAL IMAGES--> 3
CLUSTER--> 294 TOTAL IMAGES--> 2
CLUSTER--> 295 TOTAL IMAGES--> 2
CLUSTER--> 296 TOTAL IMAGES--> 2
CLUSTER--> 297 TOTAL IMAGES--> 2
CLUSTER--> 298 TOTAL IMAGES--> 2
CLUSTER--> 299 TOTAL IMAGES--> 2
CLUSTER--> 300 TOTAL IMAGES--> 2
CLUSTER--> 301 TOTAL IMAGES--> 2
CLUSTER--> 302 TOTAL IMAGES--> 2
CLUSTER--> 303 TOTAL IMAGES--> 4
CLUSTER--> 304 TOTAL IMAGES--> 2
CLUSTER--> 305 TOTAL IMAGES--> 3
CLUSTER--> 306 TOTAL IMAGES--> 6
CLUSTER--> 307 TOTAL IMAGES--> 2
CLUSTER--> 308 TOTAL IMAGES--> 4
CLUSTER--> 309 TOTAL IMAGES--> 2
CLUSTER--> 310 TOTAL IMAGES--> 2
CLUSTER--> 311 TOTAL IMAGES--> 4
CLUSTER--> 312 TOTAL IMAGES--> 2
CLUSTER--> 313 TOTAL IMAGES--> 2
CLUSTER--> 314 TOTAL IMAGES--> 4
CLUSTER--> 315 TOTAL IMAGES--> 2
CLUSTER--> 316 TOTAL IMAGES--> 2
CLUSTER--> 317 TOTAL IMAGES--> 2
CLUSTER--> 318 TOTAL IMAGES--> 4
CLUSTER--> 319 TOTAL IMAGES--> 2
CLUSTER--> 320 TOTAL IMAGES--> 4
CLUSTER--> 321 TOTAL IMAGES--> 3
CLUSTER--> 322 TOTAL IMAGES--> 6
CLUSTER--> 323 TOTAL IMAGES--> 4
CLUSTER--> 324 TOTAL IMAGES--> 2
CLUSTER--> 325 TOTAL IMAGES--> 2
CLUSTER--> 326 TOTAL IMAGES--> 2
CLUSTER--> 327 TOTAL IMAGES--> 2
CLUSTER--> 328 TOTAL IMAGES--> 3
CLUSTER--> 329 TOTAL IMAGES--> 3
CLUSTER--> 330 TOTAL IMAGES--> 2
CLUSTER--> 331 TOTAL IMAGES--> 3
CLUSTER--> 332 TOTAL IMAGES--> 2
CLUSTER--> 333 TOTAL IMAGES--> 2
CLUSTER--> 334 TOTAL IMAGES--> 2
CLUSTER--> 335 TOTAL IMAGES--> 2
CLUSTER--> 336 TOTAL IMAGES--> 2
CLUSTER--> 337 TOTAL IMAGES--> 3
CLUSTER--> 338 TOTAL IMAGES--> 2
CLUSTER--> 339 TOTAL IMAGES--> 2
CLUSTER--> 340 TOTAL IMAGES--> 2
CLUSTER--> 341 TOTAL IMAGES--> 2
CLUSTER--> 342 TOTAL IMAGES--> 2
CLUSTER--> 343 TOTAL IMAGES--> 2
CLUSTER--> 344 TOTAL IMAGES--> 2
CLUSTER--> 345 TOTAL IMAGES--> 6
CLUSTER--> 346 TOTAL IMAGES--> 2
CLUSTER--> 347 TOTAL IMAGES--> 4
CLUSTER--> 348 TOTAL IMAGES--> 2
CLUSTER--> 349 TOTAL IMAGES--> 2
CLUSTER--> 350 TOTAL IMAGES--> 2
CLUSTER--> 351 TOTAL IMAGES--> 2
CLUSTER--> 352 TOTAL IMAGES--> 2
CLUSTER--> 353 TOTAL IMAGES--> 2
CLUSTER--> 354 TOTAL IMAGES--> 3
CLUSTER--> 355 TOTAL IMAGES--> 3
CLUSTER--> 356 TOTAL IMAGES--> 6
CLUSTER--> 357 TOTAL IMAGES--> 2
CLUSTER--> 358 TOTAL IMAGES--> 4
CLUSTER--> 359 TOTAL IMAGES--> 2
CLUSTER--> 360 TOTAL IMAGES--> 2
CLUSTER--> 361 TOTAL IMAGES--> 2
CLUSTER--> 362 TOTAL IMAGES--> 8
CLUSTER--> 363 TOTAL IMAGES--> 2
CLUSTER--> 364 TOTAL IMAGES--> 4
CLUSTER--> 365 TOTAL IMAGES--> 2
CLUSTER--> 366 TOTAL IMAGES--> 2
CLUSTER--> 367 TOTAL IMAGES--> 2
CLUSTER--> 368 TOTAL IMAGES--> 4
CLUSTER--> 369 TOTAL IMAGES--> 3
CLUSTER--> 370 TOTAL IMAGES--> 3
CLUSTER--> 371 TOTAL IMAGES--> 3
CLUSTER--> 372 TOTAL IMAGES--> 2
CLUSTER--> 373 TOTAL IMAGES--> 2
CLUSTER--> 374 TOTAL IMAGES--> 2
CLUSTER--> 375 TOTAL IMAGES--> 4
CLUSTER--> 376 TOTAL IMAGES--> 2
CLUSTER--> 377 TOTAL IMAGES--> 3
CLUSTER--> 378 TOTAL IMAGES--> 3
CLUSTER--> 379 TOTAL IMAGES--> 2
CLUSTER--> 380 TOTAL IMAGES--> 2
CLUSTER--> 381 TOTAL IMAGES--> 2
CLUSTER--> 382 TOTAL IMAGES--> 2
CLUSTER--> 383 TOTAL IMAGES--> 2
CLUSTER--> 384 TOTAL IMAGES--> 2
CLUSTER--> 385 TOTAL IMAGES--> 2
CLUSTER--> 386 TOTAL IMAGES--> 4
CLUSTER--> 387 TOTAL IMAGES--> 2
CLUSTER--> 388 TOTAL IMAGES--> 12
CLUSTER--> 389 TOTAL IMAGES--> 3
CLUSTER--> 390 TOTAL IMAGES--> 2
CLUSTER--> 391 TOTAL IMAGES--> 3
CLUSTER--> 392 TOTAL IMAGES--> 3
CLUSTER--> 393 TOTAL IMAGES--> 2
CLUSTER--> 394 TOTAL IMAGES--> 2
CLUSTER--> 395 TOTAL IMAGES--> 2
CLUSTER--> 396 TOTAL IMAGES--> 2
CLUSTER--> 397 TOTAL IMAGES--> 2
CLUSTER--> 398 TOTAL IMAGES--> 2
CLUSTER--> 399 TOTAL IMAGES--> 2
CLUSTER--> 400 TOTAL IMAGES--> 2
CLUSTER--> 401 TOTAL IMAGES--> 4
CLUSTER--> 402 TOTAL IMAGES--> 4
CLUSTER--> 403 TOTAL IMAGES--> 6
CLUSTER--> 404 TOTAL IMAGES--> 2
CLUSTER--> 405 TOTAL IMAGES--> 3
CLUSTER--> 406 TOTAL IMAGES--> 2
CLUSTER--> 407 TOTAL IMAGES--> 3
CLUSTER--> 408 TOTAL IMAGES--> 2
CLUSTER--> 409 TOTAL IMAGES--> 4
CLUSTER--> 410 TOTAL IMAGES--> 2
CLUSTER--> 411 TOTAL IMAGES--> 5
CLUSTER--> 412 TOTAL IMAGES--> 2
CLUSTER--> 413 TOTAL IMAGES--> 4
CLUSTER--> 414 TOTAL IMAGES--> 3
CLUSTER--> 415 TOTAL IMAGES--> 2
CLUSTER--> 416 TOTAL IMAGES--> 3
CLUSTER--> 417 TOTAL IMAGES--> 3
CLUSTER--> 418 TOTAL IMAGES--> 3
CLUSTER--> 419 TOTAL IMAGES--> 2
CLUSTER--> 420 TOTAL IMAGES--> 3
CLUSTER--> 421 TOTAL IMAGES--> 3
CLUSTER--> 422 TOTAL IMAGES--> 11
CLUSTER--> 423 TOTAL IMAGES--> 2
CLUSTER--> 424 TOTAL IMAGES--> 2
CLUSTER--> 425 TOTAL IMAGES--> 5
CLUSTER--> 426 TOTAL IMAGES--> 2
CLUSTER--> 427 TOTAL IMAGES--> 3
CLUSTER--> 428 TOTAL IMAGES--> 2
CLUSTER--> 429 TOTAL IMAGES--> 3
CLUSTER--> 430 TOTAL IMAGES--> 3
CLUSTER--> 431 TOTAL IMAGES--> 2
CLUSTER--> 432 TOTAL IMAGES--> 2
CLUSTER--> 433 TOTAL IMAGES--> 6
CLUSTER--> 434 TOTAL IMAGES--> 2
CLUSTER--> 435 TOTAL IMAGES--> 2
CLUSTER--> 436 TOTAL IMAGES--> 2
CLUSTER--> 437 TOTAL IMAGES--> 2
CLUSTER--> 438 TOTAL IMAGES--> 3
CLUSTER--> 439 TOTAL IMAGES--> 2
CLUSTER--> 440 TOTAL IMAGES--> 2
CLUSTER--> 441 TOTAL IMAGES--> 2
CLUSTER--> 442 TOTAL IMAGES--> 2
CLUSTER--> 443 TOTAL IMAGES--> 2
CLUSTER--> 444 TOTAL IMAGES--> 3
CLUSTER--> 445 TOTAL IMAGES--> 2
CLUSTER--> 446 TOTAL IMAGES--> 2
CLUSTER--> 447 TOTAL IMAGES--> 4
CLUSTER--> 448 TOTAL IMAGES--> 2
CLUSTER--> 449 TOTAL IMAGES--> 2
CLUSTER--> 450 TOTAL IMAGES--> 4
CLUSTER--> 451 TOTAL IMAGES--> 3
CLUSTER--> 452 TOTAL IMAGES--> 3
CLUSTER--> 453 TOTAL IMAGES--> 3
CLUSTER--> 454 TOTAL IMAGES--> 2
CLUSTER--> 455 TOTAL IMAGES--> 2
CLUSTER--> 456 TOTAL IMAGES--> 2
CLUSTER--> 457 TOTAL IMAGES--> 3
CLUSTER--> 458 TOTAL IMAGES--> 4
CLUSTER--> 459 TOTAL IMAGES--> 5
CLUSTER--> 460 TOTAL IMAGES--> 2
CLUSTER--> 461 TOTAL IMAGES--> 3
CLUSTER--> 462 TOTAL IMAGES--> 2
CLUSTER--> 463 TOTAL IMAGES--> 3
CLUSTER--> 464 TOTAL IMAGES--> 4
CLUSTER--> 465 TOTAL IMAGES--> 3
CLUSTER--> 466 TOTAL IMAGES--> 2
CLUSTER--> 467 TOTAL IMAGES--> 3
CLUSTER--> 468 TOTAL IMAGES--> 3
CLUSTER--> 469 TOTAL IMAGES--> 4
CLUSTER--> 470 TOTAL IMAGES--> 4
CLUSTER--> 471 TOTAL IMAGES--> 3
CLUSTER--> 472 TOTAL IMAGES--> 2
CLUSTER--> 473 TOTAL IMAGES--> 6
CLUSTER--> 474 TOTAL IMAGES--> 2
predicted_Labels=np.load('image-results-updateGrid/ideology_model_mobilenet.npy-tsne_dbscan_labels.npy')
unique_labels=set(predicted_Labels)
for label in unique_labels:
if(label!=-1):
showClustering(predicted_Labels,label)
predicted_Labels=np.load('image-results-updateGrid/ideology_model_mobilenet.npy-tsne_optics_labels.npy')
unique_labels=set(predicted_Labels)
for label in unique_labels:
if(label!=-1):
showClustering(predicted_Labels,label)